Martin Maas - RankMe

34 papers A* 5A 4B 1C 6Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Bring-Your-Own-Model Approach for ML-Driven Storage Placement in Warehouse-Scale Computers. MLSys Chenxi Yang, Yan Li, Martin Maas, Mustafa Uysal, Ubaid Ullah Hafeez, Arif Merchant, Richard McDougall
2025	J	`jnl`	A Practical Cross-Layer Approach for ML-Driven Storage Placement in Warehouse-Scale Computers. CoRR Chenxi Yang, Yan Li, Martin Maas, Mustafa Uysal, Ubaid Ullah Hafeez, Arif Merchant, Richard McDougall
2025	J	`jnl`	ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers. CoRR Hannah Lin, Martin Maas, Maximilian Roquemore, Arman Hasanzadeh, Fred Lewis, Yusuf Simonson, Tzu-Wei Yang, Amir Yazdanbakhsh, Deniz Altinbüken, Florin Papa, Maggie Nolan Edmonds, Aditya Patil, Don Schwarz, Satish Chandra, Chris Kennelly, Milad Hashemi, Parthasarathy Ranganathan
2025	—	`conf`	Has Machine Learning for Systems Reached an Inflection Point? ASPLOS (3) Martin Maas
2025	J	`jnl`	Instruction Set Migration at Warehouse Scale. CoRR Eric Christopher, Kevin Crossan, Wolff Dobson, Chris Kennelly, Drew Lewis, Kun Lin, Martin Maas, Parthasarathy Ranganathan, Emma Rapati, Brian Yang
2025	—	`conf`	LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions. MLSys Jianheng Ling, Pratik Worah, Yawen Wang, Yunchuan Kong, Chunlei Wang, Clifford Stein, Diwakar Gupta, Jason Behmer, Logan A. Bush, Prakash Ramanan, Rajesh Kumar, Thomas Chestna, Yajing Liu, Ying Liu, Ye Zhao, Kathryn S. McKinley, Meeyoung Park, Martin Maas
2025	C	`ed.`	Proceedings of the 2025 ACM SIGPLAN International Symposium on Memory Management, ISMM 2025, Seoul, Republic of Korea, 17 June 2025 ISMM Martin Maas, Tim Harris, Onur Mutlu
2024	J	`jnl`	Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond. Commun. ACM Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel
2024	J	`jnl`	LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions. CoRR Jianheng Ling, Pratik Worah, Yawen Wang, Yunchuan Kong, Chunlei Wang, Clifford Stein, Diwakar Gupta, Jason Behmer, Logan A. Bush, Prakash Ramanan, Rajesh Kumar, Thomas Chestna, Yajing Liu, Ying Liu, Ye Zhao, Kathryn S. McKinley, Meeyoung Park, Martin Maas
2024	—	`conf`	Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples. ASPLOS (3) Phitchaya Mangpo Phothilimthana, Saurabh Kadekodi, Soroush Ghodrati, Selene Moon, Martin Maas
2023	C	`conf`	Predicting Dynamic Properties of Heap Allocations using Neural Networks Trained on Static Code: An Intellectual Abstract. ISMM Christian Navasca, Martin Maas, Petros Maniatis, Hyeontaek Lim, Guoqing Harry Xu
2023	—	`conf`	TelaMalloc: Efficient On-Chip Memory Allocation for Production Machine Learning Accelerators. ASPLOS (1) Martin Maas, Ulysse Beaugnon, Arun Chauhan, Berkin Ilbeyi
2022	B	`conf`	Distilling the Real Cost of Production Garbage Collectors. ISPASS Zixian Cai, Stephen M. Blackburn, Michael D. Bond, Martin Maas
2022	A	`conf`	Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. DATE Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini
2022	J	`jnl`	Learning to Improve Code Efficiency. CoRR Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Ariel Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan
2022	J	`jnl`	Rethinking Storage Management for Data Processing Pipelines in Cloud Data Centers. CoRR Ubaid Ullah Hafeez, Martin Maas, Mustafa Uysal, Richard McDougall
2021	C	`conf`	Adaptive huge-page subrelease for non-moving memory allocators in warehouse-scale computers. ISMM Martin Maas, Chris Kennelly, Khanh Nguyen, Darryl Gove, Kathryn S. McKinley, Paul Turner
2021	J	`jnl`	Analyzing a Caching Model. CoRR Leon Sixt, Evan Zheran Liu, Marie Pellat, James Wexler, Milad Hashemi, Been Kim, Martin Maas
2021	J	`jnl`	Distilling the Real Cost of Production Garbage Collectors. CoRR Zixian Cai, Stephen M. Blackburn, Michael D. Bond, Martin Maas
2021	—	`conf`	Learning on Distributed Traces for Data Center Storage Systems. MLSys Giulio Zhou, Martin Maas
2020	J	`jnl`	A Taxonomy of ML for Systems Problems. IEEE Micro Martin Maas
2020	C	`conf`	Hardware support for managed languages: an old idea whose time has finally come? (keynote). MPLR Martin Maas
2020	C	`ed.`	ISMM '20: 2020 ACM SIGPLAN International Symposium on Memory Management, ISMM 2020, virtual [London, UK], June 16, 2020 ISMM Chen Ding, Martin Maas
2020	A*	`conf`	Learning-based Memory Allocation for C++ Server Workloads. ASPLOS Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel
2019	J	`jnl`	A Hardware Accelerator for Tracing Garbage Collection. IEEE Micro Martin Maas, Krste Asanovic, John Kubiatowicz
2018	A*	`conf`	A Hardware Accelerator for Tracing Garbage Collection. ISCA Martin Maas, Krste Asanovic, John Kubiatowicz
2017	—	`—`	Hardware and Software Support for Managed-Language Workloads in Data Centers. Martin Maas
2017	A	`conf`	Return of the Runtimes: Rethinking the Language Runtime System for the Cloud 3.0 Era. HotOS Martin Maas, Krste Asanovic, John Kubiatowicz
2016	A*	`conf`	Taurus: A Holistic Language Runtime System for Coordinating Distributed Managed-Language Applications. ASPLOS Martin Maas, Krste Asanovic, Tim Harris, John Kubiatowicz
2015	A*	`conf`	GhostRider: A Hardware-Software System for Memory Trace Oblivious Computation. ASPLOS Chang Liu, Austin Harris, Martin Maas, Michael W. Hicks, Mohit Tiwari, Elaine Shi
2015	A	`conf`	Trash Day: Coordinating Garbage Collection in Distributed Systems. HotOS Martin Maas, Tim Harris, Krste Asanovic, John Kubiatowicz
2014	A	`conf`	Callisto: co-scheduling parallel runtime systems. EuroSys Tim Harris, Martin Maas, Virendra J. Marathe
2013	A*	`conf`	PHANTOM: practical oblivious computation in a secure processor. CCS Martin Maas, Eric Love, Emil Stefanov, Mohit Tiwari, Elaine Shi, Krste Asanovic, John Kubiatowicz, Dawn Song
2012	C	`conf`	GPUs as an opportunity for offloading garbage collection. ISMM Martin Maas, Philip Reames, Jeffrey Morlan, Krste Asanovic, Anthony D. Joseph, John Kubiatowicz